CN109560561B - Dynamic simulation method, system and storage medium for three-phase asymmetric operation of active power distribution network - Google Patents

Dynamic simulation method, system and storage medium for three-phase asymmetric operation of active power distribution network Download PDF

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CN109560561B
CN109560561B CN201811640873.3A CN201811640873A CN109560561B CN 109560561 B CN109560561 B CN 109560561B CN 201811640873 A CN201811640873 A CN 201811640873A CN 109560561 B CN109560561 B CN 109560561B
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sequence voltage
power distribution
distribution network
active power
phase
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CN109560561A (en
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陈亮
黄强
袁晓冬
顾伟
贾萌萌
刘伟琦
柳伟
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State Grid Corp of China SGCC
Southeast University
State Grid Jiangsu Electric Power Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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State Grid Corp of China SGCC
Southeast University
State Grid Jiangsu Electric Power Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/26Arrangements for eliminating or reducing asymmetry in polyphase networks
    • H02J3/383
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50Arrangements for eliminating or reducing asymmetry in polyphase networks

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Abstract

The invention discloses a dynamic simulation method, a dynamic simulation system and a dynamic simulation storage medium for three-phase asymmetric operation of an active power distribution network, wherein the method comprises the following steps: the triple group is adopted to represent the three-phase load asymmetry of the active power distribution network, and is decomposed into a symmetrical element model and an asymmetrical element model; the method comprises the steps that a pre-established photovoltaic cluster model is accessed to an active power distribution network according to a preset access mode; and simulating the active power distribution network according to the symmetrical element model and the asymmetrical element model obtained by decomposition and a preset simulation step length to obtain a three-phase asymmetrical operation dynamic simulation curve of the active power distribution network. The dynamic simulation method considers the three-phase load asymmetry of the active power distribution network, and can realize the dynamic simulation of the three-phase asymmetric operation of the active power distribution network.

Description

Dynamic simulation method, system and storage medium for three-phase asymmetric operation of active power distribution network
Technical Field
The invention relates to the technical field of power grids, in particular to a dynamic simulation method, a dynamic simulation system and a storage medium for three-phase asymmetric operation of an active power distribution network.
Background
With the development of an active power distribution network, a large number of distributed photovoltaic networks are connected into a power grid to form a photovoltaic cluster. Most of the existing active power distribution network dynamic simulation programs are based on a single-phase model, and when a distributed photovoltaic cluster is accessed to a power grid in a single phase mode or three-phase access causes asymmetric operation of three-phase loads of the active power distribution network, the traditional dynamic simulation programs cannot realize dynamic analysis and calculation of the asymmetric operation of the three phases of the active power distribution network.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a dynamic simulation method, a dynamic simulation system and a storage medium for three-phase asymmetric operation of an active power distribution network, which can realize the dynamic simulation of the three-phase asymmetric operation.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the invention provides a dynamic simulation method for three-phase asymmetric operation of an active power distribution network, which comprises the following steps:
the triple group is adopted to represent the three-phase load asymmetry of the active power distribution network, and is decomposed into a symmetrical element model and an asymmetrical element model;
the method comprises the steps that a pre-established photovoltaic cluster model is accessed to an active power distribution network according to a preset access mode;
and simulating the active power distribution network according to the symmetrical element model and the asymmetrical element model obtained by decomposition and a preset simulation step length to obtain a three-phase asymmetrical operation dynamic simulation curve of the active power distribution network.
In a second aspect, the invention provides a dynamic simulation system for three-phase asymmetric operation of an active power distribution network, which comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is used for operating according to the instruction to execute the steps of the active power distribution network three-phase asymmetric operation dynamic simulation method.
In a third aspect, the present invention provides a computer readable storage medium, on which a computer program is stored, wherein the program is executed by a processor to implement the steps of the active power distribution network three-phase asymmetric operation dynamic simulation method.
In summary, according to the dynamic simulation method, the dynamic simulation system and the dynamic simulation storage medium for three-phase asymmetric operation of the active power distribution network provided by the invention, the three-phase load asymmetry of the active power distribution network is represented by the triples, the triples are decomposed into the symmetric element model and the asymmetric element model, the three-phase load asymmetry of the active power distribution network is considered, and the dynamic simulation for three-phase asymmetric operation of the active power distribution network can be realized.
Drawings
Fig. 1 is a flowchart of a dynamic simulation method for three-phase asymmetric operation of an active power distribution network according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a photovoltaic cluster model provided according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a network node of an active power distribution network according to an embodiment of the present invention;
fig. 4 is a graph of a dynamic simulation of the output of the photovoltaic cluster obtained by the dynamic simulation method provided by the embodiment of the invention in combination with fig. 3;
fig. 5 is a graph of a voltage simulation of the node 82 obtained by the dynamic simulation method provided by the embodiment of the invention in conjunction with fig. 3.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a method for dynamically simulating three-phase asymmetric operation of an active power distribution network according to an embodiment of the present invention includes the following steps:
the method comprises the following steps: establishing a distributed photovoltaic cluster model;
the distributed photovoltaic cluster model mainly comprises: photovoltaic array, full-bridge power converter and control circuit, control circuit includes: an outer loop controller and an inner loop controller. The input voltage of the photovoltaic array is provided by the output voltage of the direct current booster circuit, the output current and the output power of the photovoltaic array are connected with the full-bridge power converter, the outer-loop controller collects the active power and the reactive power fed back by the active power distribution network, the reference value of the output current of the photovoltaic array is output to the inner-loop controller in combination with the output voltage of the photovoltaic array, and the inner-loop controller generates an SPWM gate pole control signal of the full-bridge power converter according to the feedback current of the active power distribution network and a phase locking angle (theta in the figure). Fig. 2 shows a schematic structural diagram of a photovoltaic cluster model.
Step two: the triple group is adopted to represent the three-phase load asymmetry of the active power distribution network, and is decomposed into a symmetrical element model and an asymmetrical element model;
the values of the elements in the triplet may be predetermined to indicate the asymmetry of the three-phase load. For example: the triad (1.0, 1.2, 0.8) represents that the photovoltaic cluster is connected into A, B, C three-phase power grid, but asymmetry exists among the three phases; the triad (0, 0, 1) represents that the photovoltaic cluster is independently connected to the C-phase power grid.
The method for decomposing the triples comprises the following steps:
calculating the element value d in the symmetric element model (d, d, d) according to the formula (1) based on the three elements in the triplet:
Figure BDA0001931091410000031
in the formula: a, b and c can be set to respectively represent the asymmetry degree of the three-phase load and the mode of the photovoltaic cluster accessing to the power grid, for example: setting the triad (1.0, 1.2, 0.8) to indicate that the element is connected to A, B, C three-phase power grid, but asymmetry exists among the three phases; the three groups (0, 0, 1) represent that the elements are individually connected to the C-phase power grid.
And (c) imaginary constructing an asymmetric element model according to the element value d in the symmetric element model, wherein the asymmetric element model is (a-d, b-d, c-d).
Step three: the photovoltaic cluster model is accessed to an active power distribution network according to a preset access mode;
the access mode comprises a single-phase access mode and a three-phase access mode.
Step four: judging whether the active power distribution network has a fault;
when a power grid fails, the structure and parameters of the power network change, and the network admittance matrix also changes, so that the embodiment of the invention considers the fault branch, introduces a fault judgment step, and respectively carries out simulation step length calculation aiming at the fault condition and the non-fault condition, thereby obtaining a more accurate simulation result.
Step five: and simulating the active power distribution network according to the simulation step length by combining the fault judgment result to obtain a three-phase asymmetric operation dynamic simulation curve of the active power distribution network.
The following describes the simulation steps in detail respectively for two situations of a power grid fault and a power grid fault after the photovoltaic cluster model is connected to the active power distribution network.
In the fifth step, when the active power distribution network does not have a fault, the simulation method comprises the following steps:
s511, knowing the positive sequence admittance matrix Y of the power grid1Negative sequence admittance matrix Y2Zero sequence admittance matrix Y0Positive sequence voltage U at each access node of a photovoltaic cluster1Negative sequence voltage U2Zero sequence voltage U3The three-sequence voltage U1、U2、U3Obtaining corresponding three-phase voltage U through Park inverse transformationa、Ub、Uc
S512, according to the positive sequence voltage U1Using formula I1=Y1U1Solving the injection current I of the symmetric element model1
S513, according to the three-phase voltage Ua、Ub、UcThree-phase injection current I for solving asymmetric element modela、Ib、Ic
S514, injecting the three phases into the current I by adopting Park conversiona、Ib、IcConversion to negative-sequence injection current I2And zero sequence injection current I0(ii) a For elements in a non-connected zero sequence network, the zero sequence injection current I0Is forced to 0.
S515, injection current I according to symmetrical element model1Negative sequence injection current I2And zero sequence injection current I0According to
Figure BDA0001931091410000051
Calculating a positive sequence voltage calculation value at an access node
Figure BDA0001931091410000052
Negative sequence voltage calculation value
Figure BDA0001931091410000053
And zero sequence voltage calculation value
Figure BDA0001931091410000054
Where k denotes the number of iterations, k is 0,1,2 … MAX, and MAX is the maximum number of iterations.
S516, connecting the positive sequence voltage U at the photovoltaic cluster access node1Negative sequence voltage U2Zero sequence voltage U3Respectively calculated with positive sequence voltage
Figure BDA0001931091410000055
Negative sequence voltage calculation value
Figure BDA0001931091410000056
And zero sequence voltage calculation value
Figure BDA0001931091410000057
Comparing to obtain a positive sequence voltage error, a negative sequence voltage error and a zero sequence voltage error;
s517, if the positive sequence voltage error, the negative sequence voltage error and the zero sequence voltage error are not more than the preset voltage convergence error threshold value, that is
Figure BDA0001931091410000058
And ending the step length iterative calculation, and entering the next step length calculation until the iteration times reach the preset maximum iteration times.
When the active power distribution network fails, the local power grid affected by the fault element generates a fault compensation current, so that the simulation method comprises the following steps:
s521, connecting the positive sequence voltage U at the photovoltaic cluster access node1Negative sequence voltage U2Zero sequence voltage U3Respectively converted into corresponding three-phase voltages Ua、Ub、Uc
S522, according to the positive sequence voltage U1Using formula I1=Y1U1Solving the injection current I of the symmetric element model1
S523, according to the three-phase voltage Ua、Ub、UcThree-phase injection current I for solving asymmetric element modela、Ib、Ic
S524, injecting the three phases into the current I by using Park conversiona、Ib、IcConversion to negative-sequence injection current I2And zero sequence injection current I0(ii) a For elements in a non-connected zero sequence network, the zero sequence injection current I0Is forced to 0.
S525, injecting current I according to symmetrical element model1According to
Figure BDA0001931091410000059
Calculating a positive sequence voltage calculation value at an access node
Figure BDA0001931091410000061
The solving method for the positive sequence voltage comprises the following steps: modifying the positive sequence network admittance matrix to obtain the positive sequence admittance matrix in the fault state, and recording as Y1cAccording to Y1cU1=I1Thus obtaining a positive sequence voltage iterative calculation value.
S526, adding the fault compensation negative sequence current to the negative sequence injection current I2Calculating a negative sequence voltage calculation value at an access node;
the method for accounting for the fault-compensated negative sequence current comprises the following steps: novel negative sequence injection current I2Compensating for negative sequence current + negative sequence current without fault, using new superposed negative sequence current I2According to Y2U2=I2Calculating a negative sequence voltage U at an access network node2
S527, recording the fault compensation zero sequence current into the zero sequence injection current, and calculating a zero sequence voltage calculation value at an access node;
s528, comparing the positive sequence voltage, the negative sequence voltage and the zero sequence voltage at the photovoltaic cluster access node with the positive sequence voltage calculated value, the negative sequence voltage calculated value and the zero sequence voltage calculated value respectively to obtain a positive sequence voltage error, a negative sequence voltage error and a zero sequence voltage error;
and S529, if the positive sequence voltage error, the negative sequence voltage error and the zero sequence voltage error are not more than a preset voltage convergence error threshold value, ending the step length iterative calculation, and entering the next step length calculation until the iteration times reach a preset maximum iteration time.
It should be understood that, for the imaginary asymmetric element model (a-d, b-d, c-d), which is equivalent to adding 3 imaginary asymmetric elements at the same node, in the implicit trapezoidal integration, it is necessary to find the injection current of each phase through each phase voltage. And when the imaginary asymmetric element is used for solving the injection current, the virtual reactance of the symmetric element, which is merged into the positive sequence admittance diagonal element of the power grid, is not included.
When a large number of asymmetric elements are accessed, the numerical stability of a dynamic simulation program may be reduced, so that the main power unit and the balancing machine in the active power distribution network should be ensured to run symmetrically in the simulation process.
The following description is given by combining a specific simulation example to assist in explaining beneficial effects of the dynamic simulation method for three-phase asymmetric operation of the active power distribution network provided by the embodiment of the invention:
taking a distribution grid system containing a photovoltaic grid-connected network, for example, in the whole army and county of national village of anhui, as shown in fig. 3, the distribution grid has 83 nodes, photovoltaic clusters are connected to the nodes 19, 60, 65, 75 and 82, and the photovoltaic clusters are represented by equivalent photovoltaic cluster models. The photovoltaic clusters at the above-mentioned node 5 are respectively named as photovoltaic cluster 1, photovoltaic cluster 2, photovoltaic cluster 3, photovoltaic cluster 4, and photovoltaic cluster 5, the three-phase load asymmetry is respectively expressed by triplets (1.2,0.2,0.2), (0.1,1.15,0.15), (0.1,0.15,1.15), (1.12,1.05,1.15), (1.08,1.02,1.01), the modes of the photovoltaic clusters accessing to the grid are respectively a-phase access, B-phase access, C-phase access, three-phase access, and the relevant parameters are shown in table 1:
table 1:
access node location Mode for connecting to power grid Three-phase load asymmetry
Photovoltaic cluster 1 19 Phase a access (1.2,0.2,0.2)
Photovoltaic cluster 2 60 B phase is connected into (0.1,1.15,0.15)
Photovoltaic cluster 3 65 C phase is connected into (0.1,0.15,1.15)
Photovoltaic cluster 4 75 Three-phase access (1.12,1.05,1.15)
Photovoltaic cluster 5 82 Three-phase access (1.08,1.02,1.01)
By using the simulation duration of 100s and the simulation step length of 0.01s, the embodiment of the invention is adopted to perform dynamic simulation, and a photovoltaic output dynamic simulation curve shown in fig. 4 and a voltage simulation curve of the node 82 shown in fig. 5 are respectively obtained. According to the simulation curve diagram, the three-phase dynamic simulation result obtained by the dynamic simulation method provided by the embodiment of the invention is in a reasonable range, and the per-unit values of the three-phase voltage of the power distribution network are in a normal operation value range.
The embodiment of the invention also provides a dynamic simulation system for three-phase asymmetric operation of the active power distribution network, which can be used for executing the dynamic simulation method for three-phase asymmetric operation of the active power distribution network, and comprises the following steps: a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is used for operating according to the instruction to execute the steps of the dynamic simulation method for the three-phase asymmetric operation of the active power distribution network.
The active power distribution network three-phase asymmetric operation dynamic simulation system provided by the embodiment of the invention adopts the triplets to represent the active power distribution network three-phase load asymmetry, and decomposes the triplets into a symmetric element model and an asymmetric element model; and calculating the simulation step length according to the symmetric element model and the asymmetric element model, considering the three-phase load asymmetry of the active power distribution network, and realizing the dynamic simulation of the three-phase asymmetric operation of the active power distribution network.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method for dynamically simulating three-phase asymmetric operation of the active power distribution network are realized.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (9)

1. The dynamic simulation method for three-phase asymmetric operation of the active power distribution network is characterized by comprising the following steps of:
the triple group is adopted to represent the three-phase load asymmetry of the active power distribution network, and is decomposed into a symmetrical element model and an asymmetrical element model;
the method comprises the steps that a pre-established photovoltaic cluster model is accessed to an active power distribution network according to a preset access mode;
according to the symmetric element model and the asymmetric element model obtained through decomposition, simulating the active power distribution network according to a preset simulation step length, and obtaining a three-phase asymmetric operation dynamic simulation curve of the active power distribution network;
the method for decomposing the triples comprises the following steps:
calculating the element value d in the symmetric element model (d, d, d) according to the formula (1) based on the three elements in the triplet:
Figure DEST_PATH_IMAGE002
(1)
in the formula: a. b and c are preset values which are respectively used for representing the three-phase load asymmetry of the active power distribution network;
and (c) imaginary constructing an asymmetric element model according to the element value d in the symmetric element model, wherein the asymmetric element model is (a-d, b-d, c-d).
2. The active power distribution network three-phase asymmetric operation dynamic simulation method according to claim 1, wherein after the photovoltaic cluster model is connected to the active power distribution network, whether the active power distribution network has a fault or not is judged, and simulation is performed by combining a fault judgment result.
3. The active power distribution network three-phase asymmetric operation dynamic simulation method according to claim 2, wherein when the active power distribution network is not in fault, the simulation method comprises the following steps:
respectively converting positive sequence voltage, negative sequence voltage and zero sequence voltage at the photovoltaic cluster access node into corresponding three-phase voltages;
solving the injection current of a symmetrical element model according to the positive sequence voltage;
solving the three-phase injection current of the asymmetric element model according to the three-phase voltage;
converting the three-phase injection current into a negative sequence injection current and a zero sequence injection current;
calculating a positive sequence voltage calculation value, a negative sequence voltage calculation value and a zero sequence voltage calculation value at an access node according to the injection current, the negative sequence injection current and the zero sequence injection current of the symmetric element model;
comparing positive sequence voltage, negative sequence voltage and zero sequence voltage at the photovoltaic cluster access node with a positive sequence voltage calculated value, a negative sequence voltage calculated value and a zero sequence voltage calculated value respectively to obtain a positive sequence voltage error, a negative sequence voltage error and a zero sequence voltage error;
and if the positive sequence voltage error, the negative sequence voltage error and the zero sequence voltage error are not more than the preset voltage convergence error threshold value, ending the step length iterative calculation, and entering the next step length calculation until the iteration times reach the preset maximum iteration times.
4. The active power distribution network three-phase asymmetric operation dynamic simulation method according to claim 2, wherein when the active power distribution network fails, the simulation method comprises the following steps:
respectively converting positive sequence voltage, negative sequence voltage and zero sequence voltage at the photovoltaic cluster access node into corresponding three-phase voltages;
solving the injection current of a symmetrical element model according to the positive sequence voltage;
solving the three-phase injection current of the asymmetric element model according to the three-phase voltage;
converting the three-phase injection current into a negative sequence injection current and a zero sequence injection current;
calculating a positive sequence voltage calculation value at an access node according to the injection current of the symmetrical element model;
the fault compensation negative sequence current is counted into the negative sequence injection current, and a negative sequence voltage calculation value at an access node is calculated;
calculating a zero-sequence voltage calculation value at an access node by adding a fault compensation zero-sequence current into the zero-sequence injection current;
comparing positive sequence voltage, negative sequence voltage and zero sequence voltage at the photovoltaic cluster access node with a positive sequence voltage calculated value, a negative sequence voltage calculated value and a zero sequence voltage calculated value respectively to obtain a positive sequence voltage error, a negative sequence voltage error and a zero sequence voltage error;
and if the positive sequence voltage error, the negative sequence voltage error and the zero sequence voltage error are not more than the preset voltage convergence error threshold value, ending the step length iterative calculation, and entering the next step length calculation until the iteration times reach the preset maximum iteration times.
5. The active power distribution network three-phase asymmetric operation dynamic simulation method according to claim 3 or 4, wherein the zero sequence injection current is set to 0 for the elements in the non-connected zero sequence network.
6. The active power distribution network three-phase asymmetric operation dynamic simulation method according to claim 1, wherein the access mode comprises: single-phase access mode and three-phase access mode.
7. The dynamic simulation method for three-phase asymmetric operation of the active power distribution network according to claim 1, wherein symmetric operation of a main power unit and a balancing machine in the active power distribution network is ensured in the simulation process.
8. The active power distribution network three-phase asymmetric operation dynamic simulation system comprises a processor and a storage medium; it is characterized in that the preparation method is characterized in that,
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 7.
9. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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